Results 251 to 260 of about 2,908,066 (284)
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1987
Broad in scope and packed with useful detail, Vision, Brain, and Cooperative Computation explores what can be learned about visual cognition from an understanding of visual neurophysiology and of the mathematics of parallel computation. In four parts - visual neurophysiology, visual psychophysics, machine vision and robotics, and connectionism and ...
BURR, DAVID CHARLES, Ross J.
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Broad in scope and packed with useful detail, Vision, Brain, and Cooperative Computation explores what can be learned about visual cognition from an understanding of visual neurophysiology and of the mathematics of parallel computation. In four parts - visual neurophysiology, visual psychophysics, machine vision and robotics, and connectionism and ...
BURR, DAVID CHARLES, Ross J.
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994
We develop a new robust algorithm for the estimation of optic flow and extraction of other motion-relevant information. A novel combination of the Hough Transform, and robust statistical methods results in unbiased estimates for multiple motions, parallel segmentation and estimation and increased robustness to noise and changes of illumination.
null Bober, null Kittler
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We develop a new robust algorithm for the estimation of optic flow and extraction of other motion-relevant information. A novel combination of the Hough Transform, and robust statistical methods results in unbiased estimates for multiple motions, parallel segmentation and estimation and increased robustness to noise and changes of illumination.
null Bober, null Kittler
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Non-rigid motion analysis: Isometric motion
CVGIP: Image Understanding, 1992Summary: We consider the shape-from-motion problem for objects in 3-space that undergo isometric motions. Assuming we known the shape of an object before an isometric motion, we show that we can use before and after monocular images to obtain arbitrarily good approximations to both shape and motion parameters.
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2009
Motion analysis involves the interpretation of image data over time. It is crucial for a range of vision tasks such as obstacle detection, depth estimation, video analysis, scene interpretation, video compression, etc. Motion analysis is difficult because it requires modeling of the complicated relationships between the observed image data and the ...
Nanning Zheng, Jianru Xue
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Motion analysis involves the interpretation of image data over time. It is crucial for a range of vision tasks such as obstacle detection, depth estimation, video analysis, scene interpretation, video compression, etc. Motion analysis is difficult because it requires modeling of the complicated relationships between the observed image data and the ...
Nanning Zheng, Jianru Xue
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Pediatric Gait: A New Millennium in Clinical Care and Motion Analysis Technology, 2002
Current motion analysis technologies offer a variety of methods for recording movements of interest. Each method offers unique advantages for achieving these goals. Often times, however, one method is not ideally suited for a task. This paper explores some of the relevant technologies and proposes a hybrid motion analysis system as a means of ...
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Current motion analysis technologies offer a variety of methods for recording movements of interest. Each method offers unique advantages for achieving these goals. Often times, however, one method is not ideally suited for a task. This paper explores some of the relevant technologies and proposes a hybrid motion analysis system as a means of ...
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2011
The walls of arteries move due to the changes in blood pressure and flow during the cardiac cycle. The largest and most obvious component of motion is radial, in that the diameter increases and decreases during the cardiac cycle. However, there are other important components of motion.
Peter R. Hoskins, Andrew W. Bradbury
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The walls of arteries move due to the changes in blood pressure and flow during the cardiac cycle. The largest and most obvious component of motion is radial, in that the diameter increases and decreases during the cardiac cycle. However, there are other important components of motion.
Peter R. Hoskins, Andrew W. Bradbury
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Optical Engineering, 1993
A motion model is developed to determine the velocity and orientation of motion in video sequences. It is able to classify the motion into eight velocity classes, and for each velocity class it is further classified into three orientations of horizontal, vertical, and diagonal motions.
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A motion model is developed to determine the velocity and orientation of motion in video sequences. It is able to classify the motion into eight velocity classes, and for each velocity class it is further classified into three orientations of horizontal, vertical, and diagonal motions.
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2009
Human motion analysis (Moeslund et. al., 2006; Wang et. al., 2003) is currently one of the most active research areas in computer vision due both to the number of potential applications and its inherent complexity. This high interest is driven by many applications in many areas such as surveillance, virtual reality, perceptual, control applications or ...
Daijin Kim, Jaewon Sung
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Human motion analysis (Moeslund et. al., 2006; Wang et. al., 2003) is currently one of the most active research areas in computer vision due both to the number of potential applications and its inherent complexity. This high interest is driven by many applications in many areas such as surveillance, virtual reality, perceptual, control applications or ...
Daijin Kim, Jaewon Sung
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